Sensor Management using Expected Risk ...
Type de document :
Communication dans un congrès avec actes
Titre :
Sensor Management using Expected Risk Reduction approach
Auteur(s) :
Gomes Borges, Marcos [Auteur]
SAFRAN Electronics & Defense
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Maltese, Dominique [Auteur]
SAFRAN Electronics & Defense
Vanheeghe, Philippe [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Sella, Geneviève [Auteur]
SAFRAN Electronics & Defense
Duflos, Emmanuel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
SAFRAN Electronics & Defense
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Maltese, Dominique [Auteur]
SAFRAN Electronics & Defense
Vanheeghe, Philippe [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Sella, Geneviève [Auteur]
SAFRAN Electronics & Defense
Duflos, Emmanuel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Titre de la manifestation scientifique :
19th International Conference on Information Fusion (FUSION)
Ville :
Heidelberg
Pays :
Allemagne
Date de début de la manifestation scientifique :
2016-07-05
Titre de l’ouvrage :
19th International Conference on Information Fusion (FUSION)
Date de publication :
2016-07-08
Mot(s)-clé(s) en anglais :
Sensor Management
Multi-target tracking
Target tracking
Expected Risk Reduction
Multi-target tracking
Target tracking
Expected Risk Reduction
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Mathématiques [math]/Statistiques [math.ST]
Mathématiques [math]/Probabilités [math.PR]
Mathématiques [math]/Optimisation et contrôle [math.OC]
Mathématiques [math]/Théorie de l'information et codage [math.IT]
Mathématiques [math]/Statistiques [math.ST]
Mathématiques [math]/Probabilités [math.PR]
Mathématiques [math]/Optimisation et contrôle [math.OC]
Mathématiques [math]/Théorie de l'information et codage [math.IT]
Résumé en anglais : [en]
This paper introduces an Expected Risk Reduction approach to Sensor Management and Multi-Target Tracking in a surveillance context that implements an IR-Radar sensor suite. Due to operational restrictions (for instance, ...
Lire la suite >This paper introduces an Expected Risk Reduction approach to Sensor Management and Multi-Target Tracking in a surveillance context that implements an IR-Radar sensor suite. Due to operational restrictions (for instance, electromagnetic emission constraints), it is assumed that there are more targets than given sensors are capable of tracking simultaneously when a radar emission control is applied. It is also presumed that an incorrect target classification entails a cost that is different for each target class. The Expected Risk Reduction is then applied to a simulated IR-Radar sensor management to preserve an acceptable level of kinematic accuracy on targets of the high cost. Finally, empirical statistical tests show that a track on high priority targets is maintained better when the aforementioned approach is introduced than in the case of other conventional methods, such as the information gain approach or the round robin assignment.Lire moins >
Lire la suite >This paper introduces an Expected Risk Reduction approach to Sensor Management and Multi-Target Tracking in a surveillance context that implements an IR-Radar sensor suite. Due to operational restrictions (for instance, electromagnetic emission constraints), it is assumed that there are more targets than given sensors are capable of tracking simultaneously when a radar emission control is applied. It is also presumed that an incorrect target classification entails a cost that is different for each target class. The Expected Risk Reduction is then applied to a simulated IR-Radar sensor management to preserve an acceptable level of kinematic accuracy on targets of the high cost. Finally, empirical statistical tests show that a track on high priority targets is maintained better when the aforementioned approach is introduced than in the case of other conventional methods, such as the information gain approach or the round robin assignment.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Oui
Collections :
Source :
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- SM%20ERR%202016%20Gomes-Borges.pdf
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